A geospatial mapping firm needs to migrate its legacy processing infrastructure to Google Cloud within a strict 30-day window. The workload consists of of static, high-resolution satellite raster imagery stored on local network-attached storage (NAS) and an active transactional MySQL database supporting customer mapping requests. The firm has a dedicated network connection allocated for cloud transfer tasks. The cutover plan requires minimal database downtime of less than 15 minutes while ensuring all static and transactional data is fully migrated to Google Cloud before the 30-day deadline. Which data transfer and migration strategy should the Cloud Architect recommend?
- Request Transfer Appliance to import the static raster dataset, and deploy Database Migration Service (DMS) with continuous replication (CDC) over a Cloud VPN connection for the MySQL database.Answer
- BConfigure Storage Transfer Service to upload the static raster dataset over the connection, while performing daily database dump exports to Cloud Storage.
- CMigrate the MySQL database to Cloud Spanner using continuous SQL dumps, while transferring the raster imagery over a high-availability Cloud VPN connection.
- DProvision a 1 Gbps HA VPN tunnel to stream both the raster imagery and database transactions directly into Cloud Storage within the 30-day migration window.
Answer
Request Transfer Appliance to import the static raster dataset physically, and use Database Migration Service (DMS) with continuous CDC over Cloud VPN for the MySQL database.
The correct strategy combines offline physical migration via Transfer Appliance for large petabyte-scale static data with Database Migration Service (DMS) continuous CDC replication for active transactional databases. Transfer Appliance circumvents network bottlenecks for of data, while DMS ensures live database sync and minimal cutover downtime.
Step-by-Step Solution
Key Concept
Selecting offline vs. online data transfer mechanisms based on dataset size and network bandwidth, combined with continuous database CDC for minimal downtime.